The automatic classification of urban open space by a pattern-matching method of the viewshed at intersections

Thomas Leduc and Kevin Hartwell

Environment and Planning B, 2020, vol. 47, issue 6, 1065-1080

Abstract: This research focuses on the automatic classification of small urban fragments through a morphological analysis of cognitivist inspiration. The recognition algorithm is performed on observer-centric forms, constructed through the use of visibility assessment techniques over a series of individual points of view. These tools are (1) the isovist for its capacity to delineate and synthesize the visual properties of the immediate viewshed from a point, and (2) the automatic construction of a typology of intersection patterns. The aim is to assimilate the forms of the theoretical intersection patterns to those extracted from the isovist field generated by a group of strategically placed points. Three different matching methods are proposed, and the significance of the parameters needed for optimal calibration is discussed.

Keywords: Shape recognition; isovist field; pattern matching; Fourier transform; intersection (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:47:y:2020:i:6:p:1065-1080

DOI: 10.1177/2399808318816994

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